domains / families / science / geomaster
Supports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation. Use when processing satellite imagery, aligning coordinate systems and raster grids, accessing STAC catalogs, analyzing geospatial time series, or implementing scientific GIS workflows in Python, R, Julia, JavaScript, C++, Java, Go, or Rust. Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, and 7 programming languages (Python, R, Julia, JavaScript, C++, Java, Go) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
The K-Dense copy is a rigorous, versioned procedure that emphasizes provenance, CRS verification, alignment, and safe use of bundled helpers, while the Vibe-Skills copy is a broad catalog of installation commands and illustrative examples (including Earth Engine and a naive NDVI snippet) that the K-Dense copy explicitly warns against. Each contains material steps the other lacks, and they disagree on how to handle CRS and NDVI, so crowning one would hide a real alternative.